Correlation Between Telkom Indonesia and Slj Global
Can any of the company-specific risk be diversified away by investing in both Telkom Indonesia and Slj Global at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Telkom Indonesia and Slj Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Telkom Indonesia Tbk and Slj Global Tbk, you can compare the effects of market volatilities on Telkom Indonesia and Slj Global and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Telkom Indonesia with a short position of Slj Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Telkom Indonesia and Slj Global.
Diversification Opportunities for Telkom Indonesia and Slj Global
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Telkom and Slj is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Telkom Indonesia Tbk and Slj Global Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Slj Global Tbk and Telkom Indonesia is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Telkom Indonesia Tbk are associated (or correlated) with Slj Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Slj Global Tbk has no effect on the direction of Telkom Indonesia i.e., Telkom Indonesia and Slj Global go up and down completely randomly.
Pair Corralation between Telkom Indonesia and Slj Global
Assuming the 90 days trading horizon Telkom Indonesia Tbk is expected to generate 0.35 times more return on investment than Slj Global. However, Telkom Indonesia Tbk is 2.85 times less risky than Slj Global. It trades about -0.02 of its potential returns per unit of risk. Slj Global Tbk is currently generating about -0.02 per unit of risk. If you would invest 339,134 in Telkom Indonesia Tbk on September 3, 2024 and sell it today you would lose (70,134) from holding Telkom Indonesia Tbk or give up 20.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.79% |
Values | Daily Returns |
Telkom Indonesia Tbk vs. Slj Global Tbk
Performance |
Timeline |
Telkom Indonesia Tbk |
Slj Global Tbk |
Telkom Indonesia and Slj Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Telkom Indonesia and Slj Global
The main advantage of trading using opposite Telkom Indonesia and Slj Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Telkom Indonesia position performs unexpectedly, Slj Global can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Slj Global will offset losses from the drop in Slj Global's long position.Telkom Indonesia vs. Astra International Tbk | Telkom Indonesia vs. Bank Rakyat Indonesia | Telkom Indonesia vs. Bank Mandiri Persero | Telkom Indonesia vs. Bank Central Asia |
Slj Global vs. Timah Persero Tbk | Slj Global vs. Semen Indonesia Persero | Slj Global vs. Mitra Pinasthika Mustika | Slj Global vs. Jakarta Int Hotels |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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